DocumentCode
1595312
Title
Linear Level Lasserre Lower Bounds for Certain k-CSPs
Author
Schoenebeck, Grant
Author_Institution
Dept. of Comput. Sci., Univ. of California, Berkeley, Berkeley, CA
fYear
2008
Firstpage
593
Lastpage
602
Abstract
We show that for kges3 even the Omega(n) level of the Lasserre hierarchy cannot disprove a random k-CSP instance over any predicate type implied by k-XOR constraints, for example k-SAT or k-XOR. (One constant is said to imply another if the latter is true whenever the former is. For example k-XOR constraints imply k-CNF constraints.) As a result the Omega(n) level Lasserre relaxation fails to approximate such CSPs betterthan the trivial, random algorithm. As corollaries, we obtain Omega(n) level integrality gaps for the Lasserre hierarchy of 7/6-epsiv for VERTEXCOVER, 2-epsiv for k-UNIFORMHYPERGRAPHVERTEXCOVER, and any constant for k-UNIFORMHYPERGRAPHINDEPENDENTSET. This is the first construction of a Lasserre integrality gap.Our construction is notable for its simplicity. It simplifies, strengthens, and helps to explain several previous results.
Keywords
communicating sequential processes; computational complexity; set theory; Lasserre integrality gap; Lasserre relaxation; NP-hard problems; certain k-CSP; linear level Lasserre lower bounds; random algorithm; Approximation algorithms; Computational modeling; Computer science; Constraint optimization; Polynomials; Lasserre; semidefinite program hierarchies;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 2008. FOCS '08. IEEE 49th Annual IEEE Symposium on
Conference_Location
Philadelphia, PA
ISSN
0272-5428
Print_ISBN
978-0-7695-3436-7
Type
conf
DOI
10.1109/FOCS.2008.74
Filename
4690992
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